Copilot Archives - gettectonic.com

20Sep

Salesforce and Email Marketing

Companies today have various channels available to connect with customers, yet a well-crafted, timely email continues to be a powerful tool. Our recent study revealed that 93% of respondents consider email as their primary channel for engaging with companies. In a world where competition for attention and clicks is fierce, it’s imperative to continuously evolve your email marketing strategy. Salesforce and email marketing are Tectonic’s preferred choice. And should be yours, too. Despite this, many companies still rely on outdated, generic tactics that result in disinterested customers reaching for the deadly unsubscribe button. If your metrics are struggling, and desired results are elusive, it might be time to reevaluate your email marketing strategy for areas of improvement. Understanding Email Marketing and its Significance Email marketing is a direct marketing form that uses messages to promote products or services, share thought leadership pieces, or engage with your audience. A well-thought-out email marketing strategy delivers valuable information, empowering customers to make informed purchasing decisions. Clear and concise messages position your company as helpful rather than intrusive or sales-oriented. As the email campaign progresses, an authentic trust connection develops between your brand and customers. Email marketing facilitates conversions and revenue by providing quality information aligned with customer goals. As digital experiences expanded with the rise of social media and mobile apps, email marketers now leverage tools like AI and automation to deliver more effective messages at optimal times. Impact of Marketing Automation and AI on Email Marketing Marketing automation has shifted businesses away from traditional email approaches towards more personalized communication. Enhanced data collection and management enable emails to address the specific wants and needs of individual customers, making personalization a critical tool. AI within marketing automation platforms augments capabilities, offering more targeted and personalized experiences. In email marketing, automation focuses on streamlining workflows, nurturing leads, and optimizing campaign management. AI employs advanced algorithms and machine learning for data analysis, enhancing personalization, optimizing subject lines, generating dynamic content, determining optimal send times, and providing predictive analytics. The combination of marketing automation and AI results in highly targeted and effective email marketing campaigns. Benefits of Automation in Email Marketing Effective email marketing relies on marketing automation platforms, facilitating the scaling of lead management activities, campaign coordination, and lead nurturing and scoring. These platforms make segmentation and personalization feasible on a large scale, delivering highly targeted and relevant messages, resulting in increased engagement and conversions. Personalized messaging, facilitated by AI’s advanced algorithms and machine learning, stands out as one of the most significant benefits of email marketing. Marketers can analyze extensive data, delivering highly tailored and relevant email content to individual recipients, ultimately enhancing conversion and customer satisfaction. With a flexible and customizable email marketing strategy, businesses can achieve various marketing and sales goals, including building customer relationships, boosting brand awareness, generating and nurturing leads, marketing products and services, and promoting content and useful resources. Is Email Marketing Easy? In short, yes, it can be, provided it is set up properly. While optimizing email marketing campaigns may take time, starting with a personalized strategy and utilizing tools like marketing automation and AI can simplify the process. Establishing a foundation centered on segmentation, personalization, and automation is crucial for success. Tectonic deploys email marketing platforms that make email marketing easier. Our training, consulting, and ongoing support set you up for email marketing success. Email Marketing Best Practices Consider the following high-level email marketing best practices: Costs Involved with Email Marketing The cost of email marketing varies based on business size, audience size, and the number of emails sent monthly. While costs fluctuate with business cycles, the return on investment (ROI) for email marketing is notably high, averaging $36 for every dollar spent. Email Marketing Types Experts categorize email marketing into five common types: Interactive emails, in particular, boost engagement, potentially leading to a 300% increase in click rates. Salesforce and Email Marketing Tools An excellent email marketing tool empowers end-to-end Salesforce campaign management, from writing copy and designing templates to acquiring subscribers, managing leads, segmenting audiences, and analyzing campaign performance. Choosing the right tool involves considering factors like ease of use, integration with customer data systems, and compatibility with existing business tools. In Salesforce the two primary choices are Salesforce Marketing Cloud and Salesforce Marketing Cloud Account Engagement. Salesforce can also be integrated with many other tools from Gmail to Marketo to Hubspot to MailChimp. Getting Started with Email Marketing To initiate an email marketing program in your company, Tectonic suggests you follow these steps: The right email marketing tool, coupled with a well-structured strategy, empowers businesses to execute successful campaigns, foster customer engagement, and achieve high returns on investment. Contact Tectonic today to discuss the best Salesforce email marketing tool for your business. Like2 Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

September 20, 2023in Data, Google, Laws, Marketing Automation, Salesforce, Salesforce Marketing Cloud

14Sep

Einstein Advancement

Salesforce, the enterprise software giant, announced on Tuesday the latest Einstein advancement in its artificial intelligence (AI) technology, unveiling a new generative AI tool called Einstein Copilot. This tool is set to revolutionize its suite of applications, including popular platforms like Slack and Tableau. What Happened: Einstein Copilot is introduced as a conversational AI assistant, seamlessly integrated within every Salesforce application. This integration aims to enhance user productivity by enabling interactions through natural language queries and providing responses based on proprietary company data. Unlike previous AI copilots, which often operated as separate, non-integrated applications, Einstein Copilot can access data from any Salesforce app, ensuring more accurate AI-powered recommendations and content generation. Einstein Copilot offers a wide range of functionalities, from summarizing video calls to automatically drafting sales emails tailored to individual customer contexts. It assists service teams by providing generative answers to customer concerns and helps marketers craft email content for campaigns. Developers can also benefit from its ability to convert natural language prompts directly into Apex code. Salesforce highlighted that 45% of executives are increasing their AI investments, with some already experiencing benefits, such as a 30% release of employee time. The San Francisco-based company mentioned that Einstein Copilot would leverage a vast pool of data, including customer information, enterprise content, and Slack conversations, to provide reliable and relevant recommendations. These recommendations can aid in tasks such as constructing digital storefronts or providing actionable insights for sales associates. Einstein Advancement This move aligns Salesforce with tech giants like Microsoft Corp and Alphabet Inc, which are capitalizing on the growing demand for generative AI. With previous initiatives such as the Einstein GPT genAI product launch in March and the expansion of its AI venture capital fund to 0 million in June, Salesforce is positioned to redefine the enterprise software landscape with its AI-driven initiatives. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

September 14, 2023in Einstein 1 Platform, Einstein Insights

07Sep

Reporting With Own

In any Salesforce organization, vast amounts of data are generated constantly from sales activities, customer interactions, marketing campaigns, and more. Summarizing and digesting this information quickly is crucial, especially when presenting the big picture to leadership. This is where Salesforce reports come into play. The Salesforce Reports feature enables organizations to analyze, visualize, and summarize data in real time. By pulling data from across your Salesforce environment, reports help consolidate information into easily digestible formats, such as charts, tables, and graphs. Salesforce reports are essential for: How Historical Data Can Improve Reporting in Salesforce While real-time reports are valuable, incorporating historical data can significantly enhance reporting by offering deeper insights into your organization’s long-term performance. Here’s how: Challenges of Reporting with Historical Data in Salesforce While incorporating historical data is smart, Salesforce’s native reporting capabilities impose certain limitations: Don’t Let Salesforce Reporting Limitations Hold You Back With Own Discover, customers can effortlessly generate time-series datasets from any objects and fields over any time period in just a few clicks. These datasets can be accessed using standard query and reporting tools without requiring a data warehouse or the need to enrich existing data warehouses, overcoming Salesforce’s native limitations. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

September 7, 2023in Enterprise

26Aug

Einstein in Salesforce

Salesforce AI and CRM Evolution Salesforce has long been a leader in customer relationship management (CRM) by pioneering cloud technologies. Recently, the platform has significantly advanced with the integration of generative artificial intelligence (AI) and AI-powered features, thanks to its Einstein technology. Einstein in Salesforce is like a super smart computer overseeing and analyzing the data in your CRM. This guide explores Salesforce’s AI strategy, exploring its specific products and features to help business teams understand and benefit from this technology. Exploring Salesforce’s Advanced AI Features Einstein, Salesforce’s AI technology, powers various advanced features within the platform. This guide will cover these capabilities, provide real-life adoption examples, and discuss their benefits. Additionally, it offers best practices, solutions, and services to facilitate your Einstein implementation. Salesforce’s Comprehensive CRM Solution Salesforce remains a number one in the CRM software world, offering robust solutions for managing relationships across various departments. Specific clouds within Salesforce enable teams to handle marketing, sales, customer service, e-commerce, and more. The platform focuses on customer experience and provides robust data analytics to support decision-making. Enhancements Through Generative AI Salesforce’s generative AI has rapidly enhanced the platform’s automation, workflow management, data analytics, and assistive capabilities for customer management. A prime example is Salesforce Copilot, which aids internal users with outreach and analysis tasks while improving the external user experience. What is Salesforce Einstein? Salesforce Einstein is the first comprehensive AI for CRM, integrating AI technologies to enhance the Customer Success Platform and bring AI to users everywhere. It is seamlessly integrated into many Salesforce products, offering generative AI built specifically for CRM. Key Features of Salesforce Einstein Comprehensive AI Capabilities of Salesforce Einstein Einstein extends its capabilities across the Salesforce CRM platform under the Customer 360 umbrella, enhancing intelligence and providing personalized customer experiences. Key Benefits of Salesforce Einstein Salesforce Einstein helps close deals faster, personalize customer service, understand customer behaviors, target audience segments better, and create personalized shopping experiences. It ensures data protection and privacy through the Einstein Trust Layer, maintaining strong data governance controls. Responsible AI Principles Salesforce is committed to responsible AI principles, ensuring Einstein is trustworthy and safe for every organization. Organizations can select from various principles to ensure ethical AI use in their operations. Implementation of Salesforce Einstein Salesforce Einstein is a powerful AI solution transforming how businesses interact with customers. By leveraging machine learning and data analysis, it personalizes experiences, predicts customer behavior, and automates tasks, boosting sales, enhancing service, and driving growth. As AI evolves, its impact on CRM will continue to grow, making it an indispensable tool for businesses aiming to stay competitive in today’s data-driven landscape. Top 4 Benefits of Salesforce Einstein in an Organization Einstein Essentials Salesforce Einstein and GPT (Generative Pretrained Transformer) technologies represent significant advancements in AI, particularly in CRM and natural language processing. Here’s a brief overview of their relevance and potential intersection: Data Handling and Ethics in Salesforce Salesforce manages a vast amount of customer data, and the ethical handling of this data is crucial. Key considerations include data privacy, secure storage, access controls, compliance with regulations like GDPR and CCPA, and the ethical use of AI and machine learning. It’s important to maintain transparency, avoid biases, and ensure AI models are making ethical decisions. Newest Einstein Features for 2024 In the rapidly evolving ecosystem of Salesforce, AI offers a suite of tools to spark innovation, streamline operations, and provide richer business insights. Explore these potentials and let Einstein AI reshape your work in 2024. Content updated June 2024. Like1 Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

August 26, 2023in Einstein 1 Platform, Generative AI, Salesforce Data Cloud, Salesforce Einstein

Salesforce Einstein and Einstein Automate

09Aug

Einstein Trust

Generative AI, Salesforce, and the Commitment to Trust The excitement surrounding generative AI is palpable as it unlocks new dimensions of creativity for individuals and promises significant productivity gains for businesses. Engaging with generative AI can be a great experience, whether creating superhero versions of your pets with Midjourney or crafting pirate-themed poems using ChatGPT. According to Salesforce research, employees anticipate saving an average of 5 hours per week through the adoption of generative AI, translating to a substantial monthly time gain for full-time workers. Whether designing content for sales and marketing or creating a cute version of a beloved story, generative AI is a tool that helps users create content faster. However, amidst the enthusiasm, questions arise, including concerns about the security and privacy of data. Users ponder how to leverage generative AI tools while safeguarding their own and their customers’ data. Questions also revolve around the transparency of data collection practices by different generative AI providers and ensuring that personal or company data is not inadvertently used to train AI models. Additionally, there’s a need for assurance regarding the accuracy, impartiality, and reliability of AI-generated responses. Salesforce has been at the forefront of addressing these concerns, having embraced artificial intelligence for nearly a decade. The Einstein platform, introduced in 2016, marked Salesforce’s foray into predictive AI, followed by investments in large language models (LLMs) in 2018. The company has diligently worked on generative AI solutions to enhance data utilization and productivity for their customers. The Einstein Trust Layer is designed with private, zero-retention architecture. Emphasizing the value of Trust, Salesforce aims to deliver not just technological capabilities but also a responsible, accountable, transparent, empowering, and inclusive approach. The Einstein Trust Layer represents a pivotal development in ensuring the security of generative AI within Salesforce’s offerings. The Einstein Trust Layer is designed to enhance the security of generative AI by seamlessly integrating data and privacy controls into the end-user experience. These controls, forming gateways and retrieval mechanisms, enable the delivery of AI securely grounded in customer and company data, mitigating potential security risks. The Trust Layer incorporates features such as secure data retrieval, dynamic grounding, data masking, zero data retention, toxic language detection, and an audit trail, all aimed at protecting data and ensuring the appropriateness and accuracy of AI-generated content. Salesforce proactively provided the ability for any admin to control how prompt inputs and outputs are generated, including reassurance over data privacy and reducing toxicity. This innovative approach allows customers to leverage the benefits of generative AI without compromising data security and privacy controls. The Trust Layer acts as a safeguard, facilitating secure access to various LLMs, both within and outside Salesforce, for diverse business use cases, including sales emails, work summaries, and service replies in contact centers. Through these measures, Salesforce underscores its commitment to building the most secure generative AI in the industry. Generating content within Salesforce can be achieved through three methods: CRM Solutions: Einstein Copilot Studio: Einstein LLM Generations API: An overarching feature of these AI capabilities is that every Language Model (LLM) generation is meticulously crafted through the Trust Layer, ensuring reliability and security. At Tectonic, we look forward to helping you embrace and utilize generative AI with Einstein save time. Like1 Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

August 9, 2023in Artificial Intelligence, Data, Generative AI, Salesforce, Salesforce Einstein

10May

Keys to Writing Meaningful Email Content

By Tectonic’s Salesforce Marketing Consultant, Shannan Hearne Email marketing remains a powerful tool for businesses to engage with their prospects and customers. Writing meaningful email content takes time and practice. It’s essential to recognize that your recipients and subscribers face a constant barrage of emails. The challenge becomes making your email stand out in the inbox, prompt subscribers to open, read, and respond to your desired Call to Action. Here are proven methods to enhance the interest, effectiveness, and credibility of your emails: Stay Relevant: Set a Content Hierarchy: Tell a Story: Keep it Simple: Trim it Back and Clean it Up: Grab Their Attention: Include a Preheader: Save Time with AI: Drive Results with a Strong CTA: Test. Test. Test Again: By adhering to these email content tips, you can create emails that are engaging, effective, and eagerly anticipated by your readers. Whether focusing on relevance, storytelling, simplicity, or testing, these strategies will highlight the interest, effectiveness, and trustworthiness of your brand. Start crafting those emails and monitor their success. If you are struggling with the challenge of writing meaningful email content, Tectonic consultants can help. Contact us today. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

May 10, 2023in Salesforce

17Apr

Salesforce Einstein Explained

Einstein serves as Salesforce’s integrated AI layer, intricately woven into nearly every Salesforce Cloud. Salesforce Einstein Explained. While certain features, like Opportunity Scoring in Salesforce, are now offered at no cost, many Einstein functionalities are premium add-ons for essential Salesforce products like Sales, Service, Commerce, and Marketing Cloud. A notable development came in March 2023 when Salesforce introduced Einstein GPT, an extension of the Einstein product. This groundbreaking application leverages the ChatGPT platform from OpenAI, renowned for its widespread popularity, and is anticipated to be released later this year. Thereby incorporating generative AI into many Salesforce cloud features. Salesforce AI delivers trusted, extensible AI grounded in the fabric of our Platform. Utilize our AI in your customer data to create customizable, predictive, and generative AI experiences to fit all your business needs safely. Bring conversational AI to any workflow, user, department, and industry with Einstein. Salesforce Einstein is the only comprehensive Artificial Intelligence for CRM. It is data ready to work in your Salesforce org and clouds. Einstein is an integrated set of AI technologies that make the Customer Success Platform smarter. Einstein is the only comprehensive AI for CRM. It is: Einstein enables you to become an AI-first company so you can get smarter and more predictive about your customers. What can you do with Einstein? Drive productivity and personalization with predictive and generative AI across the Customer 360 with Salesforce Einstein. Create and deploy assistive AI experiences natively in Salesforce, allowing your customers and employees to converse directly with Einstein to solve issues faster and work smarter. Empower sellers, agents, marketers, and more with AI tools safely grounded in your customer data to make every customer experience more impactful. Build and customize a conversational AI assistant for CRM. Einstein Copilot is a trusted, generative-AI powered assistant built into the user experience of every Salesforce application. Whether employee-facing or customer-facing, Einstein Copilot can automatically reason through tasks based on pre-built skills. Use prompts, APIs, apex, and more to customize your own AI assistant. Like2 Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

April 17, 2023in Artificial Intelligence, Data, Einstein Insights, Generative AI, Salesforce, Salesforce Einstein

09Mar

Salesforce Service Cloud Einstein

Einstein for Service is a robust suite of time-saving Artificial Intelligence features designed to empower agents in delivering exceptional customer service experiences. Salesforce Service Cloud Einstein-learn more. Customer service has evolved from being a cost center to a growth driver, and leading companies are prioritizing customer service to increase brand loyalty. In Service Cloud Einstein, various AI technologies, such as Machine Learning (ML), deep learning, predictive analytics, Natural Language Processing (NLP), and smart data discovery, work collaboratively to enhance customer support, providing faster and better service. Salesforce Einstein, recognized as the world’s first “generative AI” built for CRM, seamlessly integrates into multiple Salesforce products, including Marketing Cloud, Sales Cloud, and Service Cloud. Sales Cloud incorporates Einstein in the form of eight essential tools: Salesforce Einstein, since its inception in 2016, has been at the forefront of CRM AI technology, delivering personalized and predictive experiences for enhanced professionalism. Salesforce Service Cloud is a CRM platform focused on providing service and support to business customers. It is an extension of the Sales Cloud product tailored for sales professionals. Service Cloud Einstein is utilized by notable companies like Thomson Reuters, Southern Glazer’s Wine and Spirits, Cisco, and Skillsoft. Service Cloud Einstein benefits businesses by providing efficient customer service, with Einstein GPT responding promptly to inquiries, offering precise responses, enhancing customer satisfaction, and reducing resolution time. Studies show that in the same time 3 customers could be serviced before Service Cloud Einstein, now ten can be taken care of. The difference between Einstein GPT and ChatGPT lies in their design, with Einstein GPT specifically tailored for Salesforce users and clouds, while ChatGPT is a more versatile model for general use. Einstein is available for free with Salesforce’s Developer Edition, providing access to most platform features for building and testing custom applications and integrations using Einstein. Salesforce Sales Cloud and Service Cloud differ in their focus, with Sales Cloud concentrating on sales processes, while Service Cloud centers around customer service and support. Einstein remains the overarching AI brand for Salesforce, present across the portfolio, including within Tableau. Einstein Discovery is available as part of Tableau CRM Plus or through Einstein Predictions. Are you ready to explore the power of Einstein in your Salesforce Service Cloud implementation? Contact Tectonic today. Tectonic is please to announce Salesforce Service Cloud Implementation Solutions. Content updated January 2024. Like1 Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

March 9, 2023in Artificial Intelligence, Data, Generative AI, Marketing Automation, Salesforce, Salesforce Einstein, Salesforce Sales Cloud, Salesforce Service Cloud, Technology

08Nov

ChatGPT and Einstein GPT

Artificial intelligence (AI) has been rapidly advancing globally, with breakthroughs captivating professionals across various sectors. One milestone that has gained significant attention is the emergence of ChatGPT, a cutting-edge language model revolutionizing the tech landscape. This development has profoundly impacted businesses relying on Salesforce for their customer relationship management (CRM) needs. In March 2023, Salesforce unveiled its latest AI innovation, Einstein GPT, promising to transform how companies engage with their clientele. In this article, we explore what Salesforce Einstein GPT entails and how it can benefit teams across diverse industries. When OpenAI introduced ChatGPT in November 2022, they didn’t expect the overwhelming response it received. Initially positioned as a “research preview,” this AI chatbot aimed to refine existing technology while soliciting feedback from users. However, ChatGPT quickly became a viral sensation, surpassing OpenAI’s expectations and prompting them to adapt to its newfound popularity. Developed on the foundation of the GPT-3.5 language model, ChatGPT was specifically tailored to facilitate engaging and accessible conversations, distinguishing it from its predecessors. Its launch attracted a diverse user base keen to explore its capabilities, prompting OpenAI to prioritize addressing potential misuse and enhancing its safety features. As ChatGPT gained traction, it caught the attention of Salesforce, a leading CRM provider. In March 2023, Salesforce unveiled Einstein GPT, its own AI innovation, poised to transform customer engagement. Built on the GPT-3 architecture and seamlessly integrated into Salesforce Clouds, Einstein GPT promised to revolutionize how businesses interact with their clientele. Einstein GPT boasts a range of features designed to personalize customer experiences and streamline workflows. From generating natural language responses to crafting personalized content and automating tasks, Einstein GPT offers versatility and value across industries. By leveraging both Einstein AI and GPT technology, businesses can unlock unprecedented efficiency and deliver superior customer experiences. Despite its success, OpenAI acknowledges the need for ongoing refinement and vigilance, emphasizing the importance of responsible deployment and transparency in the development of AI technology. Exploring Einstein GPT Salesforce presents Einstein GPT as the premier generative AI tool for CRM worldwide. Utilizing the advanced GPT-3 architecture, Einstein GPT seamlessly integrates into all Salesforce Clouds, including Tableau, MuleSoft, and Slack. This groundbreaking technology empowers users to generate natural language responses to customer inquiries, craft personalized content, and compose entire email messages on behalf of sales personnel. With its high degree of customization, Einstein GPT can be finely tuned to meet the specific needs of various industries, use cases, and customer requirements, delivering significant value to businesses of all sizes and sectors. Objectives of Salesforce AI Einstein GPT Salesforce AI Einstein GPT is designed to achieve several key objectives: Distinguishing Einstein GPT from Einstein AI Einstein GPT represents the latest evolution of Salesforce’s Einstein artificial intelligence technology. Unlike its predecessors, Einstein GPT integrates proprietary Einstein AI models with ChatGPT and other leading large language models. This integration enables users to interact with CRM data using natural language prompts, resulting in highly personalized, AI-generated content and triggering powerful automations that enhance workflows and productivity. By leveraging both Einstein AI and GPT technology, businesses can achieve unparalleled efficiency and deliver exceptional customer experiences. Features of Einstein GPT in Salesforce CRM Key features and capabilities of Salesforce Einstein chatbot GPT include: Utilizing Einstein GPT for Business Improvement Einstein GPT can be leveraged across various domains to enhance business operations: Integration with Salesforce Data Cloud Salesforce Data Cloud, a cloud-based data management system, enables real-time data aggregation from diverse sources. Einstein GPT utilizes unified customer data profiles from the Salesforce Data Cloud to personalize interactions throughout the customer journey. OpenAI on ChatGPT Methods We trained this model using Reinforcement Learning from Human Feedback (RLHF), using the same methods as InstructGPT, but with slight differences in the data collection setup. We trained an initial model using supervised fine-tuning: human AI trainers provided conversations in which they played both sides—the user and an AI assistant. We gave the trainers access to model-written suggestions to help them compose their responses. We mixed this new dialogue dataset with the InstructGPT dataset, which we transformed into a dialogue format. To create a reward model for reinforcement learning, we needed to collect comparison data, which consisted of two or more model responses ranked by quality. To collect this data, we took conversations that AI trainers had with the chatbot. We randomly selected a model-written message, sampled several alternative completions, and had AI trainers rank them. Using these reward models, we can fine-tune the model using Proximal Policy Optimization. We performed several iterations of this process. ChatGPT is fine-tuned from a model in the GPT-3.5 series, which finished training in early 2022. You can learn more about the 3.5 series here. ChatGPT and GPT-3.5 were trained on an Azure AI supercomputing infrastructure. Limitations ChatGPT and Einstein GPT Salesforce Einstein GPT signifies a significant advancement in AI technology, empowering businesses to deliver tailored customer experiences and streamline operations. With its integration into Salesforce CRM and other platforms, Einstein GPT offers unprecedented capabilities for personalized engagement and automated insights, ensuring organizations remain competitive in today’s dynamic market landscape. When OpenAI quietly launched ChatGPT in late November 2022, the San Francisco-based AI company didn’t anticipate the viral sensation it would become. Initially viewed as a “research preview,” it was meant to showcase a refined version of existing technology while gathering feedback from the public to address its flaws. However, the overwhelming success of ChatGPT caught OpenAI off guard, leading to a scramble to capitalize on its newfound popularity. ChatGPT, based on the GPT-3.5 language model, was fine-tuned to be more conversational and accessible, setting it apart from previous iterations. Its release marked a significant milestone, attracting millions of users eager to test its capabilities. OpenAI quickly realized the need to address potential misuse and improve the model’s safety features. Since its launch, ChatGPT has undergone several updates, including the implementation of adversarial training to prevent users from exploiting it (known as “jailbreaking”). This technique involves pitting multiple chatbots against each other to identify and neutralize malicious behavior. Additionally,

November 8, 2022in Generative AI, Mulesoft, Salesforce, Salesforce Data Cloud, Salesforce Einstein

21Oct

SysCloud Backup for Salesforce

Introducing SysCloud Backup for Salesforce. Protect and manage your critical SaaS applications seamlessly: Enhanced Backup Capabilities: Simplify Backups with Sky – Our AI Copilot: Addressing Salesforce’s Native Data Retention Limitations: SysCloud Shared Drives Backup: Effortlessly Protect Your Salesforce Data: Pricing and Compatibility: Superfast SOC-2 Compliant Backups: Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

October 21, 2022in Salesforce

17Aug

Salesforce Automation

In today’s fast-paced business landscape, efficiency reigns supreme, and the optimization of processes is paramount for success. Salesforce automation tools stand as indispensable allies in this pursuit, empowering businesses to automate repetitive tasks, eliminate errors, and liberate valuable time for employees to focus on mission-critical endeavors. From sales to marketing and customer service, Salesforce offers a comprehensive suite of automation tools designed to enhance efficiency, productivity, and ultimately, profitability. This insight serves as a guide to the value and various components of Salesforce automation. At the core of Salesforce’s effectiveness lies its sophisticated suite of automation tools, reshaping how organizations manage and streamline their sales operations. For administrators entrusted with overseeing the Salesforce environment, mastering these automation tools transcends mere skill; it’s a strategic necessity. Salesforce Automation Tools empower administrators to craft and deploy intricate workflows, facilitating seamless coordination of tasks and processes within the CRM platform. From lead generation to deal closure, these tools offer a comprehensive array of features that can metamorphose manual, time-consuming tasks into streamlined, automated processes. As businesses aspire for agility and efficiency in their operations, administrators assume the role of architects, leveraging Salesforce automation tools to erect a robust foundation for success. This deep dive into Salesforce Automation Tools aims to arm administrators with the knowledge and insights required to navigate the platform’s intricacies adeptly. We will dive into the fundamental components of automation, including workflow rules, process builder, and flow builder, unraveling their functionalities and showcasing how they can be tailored to suit specific business requirements. Through real-world examples and practical guidance, this exploration seeks to empower administrators to unleash the full potential of Salesforce Automation Tools, transforming them into proficient conductors of the CRM symphony. As we embark on this journey, administrators will cultivate a comprehensive understanding of Salesforce’s automation capabilities, enabling them to optimize processes, enhance productivity, and elevate the overall user experience. Whether you’re a seasoned Salesforce administrator or a newcomer to the platform, this deep dive promises invaluable insights and hands-on expertise to navigate the dynamic realm of Salesforce automation with confidence and proficiency. What is Salesforce Automation? Salesforce automation represents a sophisticated sales management solution that automates pivotal sales components such as lead management, sales forecasting, and team performance management. Leveraging Software-as-a-Service (SaaS) products enables the automation of repetitive and redundant tasks and processes. Workflow rules enable organizations to design and enforce business processes systematically. For example, as leads progress through the sales pipeline, workflow rules can automatically assign tasks to sales representatives, update opportunity stages, and notify relevant stakeholders. By establishing these rules, administrators lay the groundwork for a more streamlined and error-resistant workflow, allowing teams to focus on high-impact activities while the system handles routine, rule-based tasks. Understanding the foundations of Salesforce automation through workflow rules is crucial for administrators seeking to optimize their CRM environment. As businesses evolve, the ability to adapt and scale automation becomes paramount. This foundational knowledge not only empowers administrators to create efficient workflows but also sets the stage for exploring more advanced automation tools within the Salesforce ecosystem, ensuring a robust and responsive foundation for the dynamic world of CRM. Centralized Data Storage and Enhanced Lead Tracking Centralizing customer-related data stands as one of the most significant advantages of Salesforce automation. This consolidation facilitates streamlined lead tracking, performance monitoring, and revenue prediction. By automating non-revenue-generating tasks, which can consume up to two-thirds of a sales representative’s time, sales teams can redirect their efforts towards high-impact, revenue-generating activities, thereby fostering overall business growth. Automated Sales Processes: Boosting Productivity The automation of repetitive sales processes emerges as a direct response to research indicating the imperative to enhance sales productivity. Through automation, sales representatives can leverage their time more effectively, focusing on tasks that directly contribute to revenue generation and organizational success. Understanding the Crucial Role of Salesforce Automation The importance of Salesforce automation cannot be overstated in the realm of sales management. By offering centralized data storage, streamlined lead tracking, and enhanced performance monitoring, Salesforce automation revolutionizes the sales landscape. Discover – Controllers in Salesforce: What It Is, Types and Features. Key Benefits of Salesforce Automation The benefits of Salesforce automation are manifold. Firstly, it facilitates the consolidation of customer-related data, enabling efficient lead tracking, reminder setting, and performance monitoring. Additionally, automation saves time and minimizes errors, allowing sales representatives to concentrate on revenue-generating activities such as deal closure and client relationship building. Moreover, Salesforce automation ensures a personalized and consistent customer experience, empowering sales reps to tailor interactions based on customer preferences and behaviors. Furthermore, Salesforce automation fosters efficient collaboration and communication within sales teams, providing a centralized platform for accessing essential information and insights. Additionally, it offers valuable analytics and insights to optimize sales strategies, analyzing customer behavior, sales performance, and market trends to drive revenue growth. Components of Salesforce Automation Lead Management: Involves collecting, tracking, and analyzing customer data and interactions to streamline the sales pipeline and convert leads into customers. Sales Forecasting: Enables organizations to make educated decisions and prepare for future development by forecasting sales revenue based on market analysis and demands. Team Performance Management: Involves monitoring sales team performance, identifying areas for improvement, and providing feedback and coaching to enhance team performance. Email and Social Media Marketing: Automates marketing platforms to communicate better with consumers and prospects, customizing campaigns based on customer preferences and behaviors. Workflow and Approval Processes: Ensures that sales processes follow established procedures and workflows, reducing manual errors and enhancing organizational performance. Data and Analytics: Tracks key performance indicators (KPIs) and provides actionable insights to inform decision-making and drive revenue growth. Streamlining Appointment Scheduling: Assists in scheduling sales appointments efficiently, mitigating the risk of double-booking meetings. Prioritizing Leads: Analyzes leads based on various metrics to maximize sales and productivity. Salesforce automation has revolutionized sales operations, fostering efficiency, effectiveness, and customer-centricity. As technology continues to evolve, Salesforce automation remains a critical tool for businesses striving to stay ahead of the competition and achieve their sales goals. In the dynamic world of Salesforce, administrators

August 17, 2022in Data, Marketing Automation, Salesforce, Salesforce Implementation Services, Technology

27Apr

Slack Process Automation

Salesforce’s Slack team collaboration tool extends beyond facilitating communication across channels; it empowers users to automate routine processes seamlessly through the Workflow Builder tool. This feature, available in Slack, offers a range of tools to streamline processes both within and outside Slack, all without the need for coding. Slack process automation improves the power and usage of the collaboration tool. The versatility of workflows is vast, accommodating simple to complex processes that can connect with various apps and services, not limited to Slack and Salesforce alone. With over 2,400 apps in the Slack App Directory, integration possibilities are extensive. Should a pre-built app fall short, customization options allow tailoring to specific business needs without the necessity for coding expertise. Building a workflow primarily requires identifying routine business processes suitable for automation, whether through app installation or custom Workflow Builder creation. The absence of coding prerequisites makes this accessible to a broader audience. Workflow Builder considers any series of sequential, repeatable tasks aimed at achieving a specific goal as a viable process for automation. Since Salesforce’s acquisition of Slack in 2021, the platform has become a pivotal collaboration tool within and beyond the Salesforce ecosystem. Its popularity has surged, particularly in remote-based work environments, where integrations with various applications synchronize data into Slack, providing a single, accurate source accessible to all team members. This, coupled with automation features directly accessible from the Slack app, significantly reduces manual task durations. Eight highly recommended Slack automations, facilitated through pre-built templates, cover various aspects, including recruiting, lead management, deal alerts, quote-to-invoice processes, project status tracking, time tracking, support case management, and even creative applications like hue light automation. Tectonic offers expertise in custom Slack integrations with Salesforce projects. Companies can explore how Slack enhances team collaboration and process automation by connecting with us. Slack Workflows Importantly, Slack workflows extend beyond Salesforce integration, working seamlessly with other platforms such as Zapier, Centro, Google Sheets, AttendanceBot, Polly, Datadog, Fellow, Automate.io, BirthdayBot, Jira, Workstreams, ToDoBot, Workast, Simple Poll, and more. The Workflow Builder feature enables the creation of predefined triggers and steps to automate processes directly within the Slack app. Triggers can be manually selected, initiated by emoticon selections, or set to run automatically. Once triggered, the workflow’s steps unfold in the selected order, allowing the seamless execution of various tasks. Process Automation in Slack The possibilities for automation using Workflow Builder in Slack are extensive, ranging from employee onboarding, customer support, content and communication review, to sales lead and marketing campaign management, request approval processes, and beyond. Slack, in conjunction with Tectonic, stands ready to bring these envisioned automations to life for organizations seeking enhanced efficiency and collaboration. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

April 27, 2022in Data, Google, Mulesoft, Salesforce, Salesforce Implementation Services, Salesforce Managed Services, Salesforce Slack

21Apr

Salesforce Content Management System

Salesforce CMS: A Comprehensive Overview Salesforce Content Management System empowers organizations to build sites, portals, and forums effortlessly through a user-friendly, declarative builder, offered at a subscription rate of $10,000 per org/month. Users leverage its capabilities to publish and manage various content types such as blogs and banners across multiple channels like emails, websites, mobile apps, and portals. Key Features of Salesforce CMS Benefits of Salesforce CMS Salesforce CMS functions as a hybrid content management system, facilitating seamless content creation and delivery for teams of all skill levels. It integrates deeply with customer data, enabling personalized and efficient content distribution. Real-World Application Andy Jones from NOW, a streaming service by Sky in the U.K., praises Salesforce CMS for accelerating content creation. According to Jones, content creators transition swiftly from novice to mastery without relying on IT or design teams, resulting in visually appealing content. Integration of CRM with CMS enhances customer experiences significantly. Features and Flexibility Tools for Building Experiences Delivering Content to Third-Party Platforms Utilize Salesforce headless APIs to seamlessly deliver content to third-party sites, experiences, or mobile apps. Personalization and Customer-Centric Content Salesforce CMS enhances content personalization by leveraging customer data, enabling teams to craft content that effectively addresses customer pain points, needs, questions, and desires. Turning Data into Content Transform CRM records into visually compelling content such as banners, tile menus, or engaging promotional CTAs, empowering every team member to contribute to enhanced customer experiences. Salesforce CMS stands as a robust, adaptable, and user-friendly solution for organizations aiming to deliver personalized, data-driven content across all customer touchpoints. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

April 21, 2022in Data, Salesforce

13Apr

Salesforce Einstein AI

Salesforce Artificial Intelligence: Salesforce AI provides a reliable and scalable AI experience embedded in the foundation of their Einstein Platform. Leverage Salesforce’s AI capabilities within your customer data to create tailored, predictive, and generative AI solutions that cater to your diverse business requirements securely. Integrate conversational AI seamlessly into any workflow, user interface, department, or industry with Einstein. Salesforce Einstein AI is artificial intelligence for the CRM. Is Salesforce Einstein an AI? Salesforce Einstein is a comprehensive suite of CRM AI technologies designed to facilitate personalized and predictive experiences, enhancing the professionalism and appeal of your company. Since its inception in 2016, it has stood at the forefront of AI technology within the CRM domain. Is Einstein GPT available in Salesforce? Introduced at TrailblazerDX 2023, Salesforce unveiled Einstein GPT to provide auto-generated AI content directly within the Salesforce platform. Einstein GPT finds applications in Slack, sales, service, marketing, commerce, and app development, presenting numerous use cases. Salesforce’s Venture into AI: In 2016, Salesforce embraced artificial intelligence (AI) with the announcement of Salesforce Einstein. Rather than a standalone product, Einstein serves as a technology layer intricately woven into the Salesforce Lightning platform and various cloud products, addressing complex organizational structures, growing databases, and heightened customer expectations. Sales AI: Customer Service AI: Marketing AI: Commerce AI: Einstein Copilot: Einstein Copilot is a trusted generative-AI powered assistant seamlessly integrated into every Salesforce application. Whether employee-facing or customer-facing, Einstein Copilot automates tasks based on pre-built skills, utilizing prompts, APIs, Apex, and more to customize your own AI assistant. Driving Productivity with Einstein: Utilize Salesforce Einstein to drive productivity and personalization across the Customer 360. Create and deploy assistive AI experiences natively in Salesforce, allowing customers and employees to interact directly with Einstein for faster issue resolution and smarter work practices. Einstein GPT vs. ChatGPT: Differentiating between Einstein GPT and ChatGPT revolves around their specialization and versatility. Einstein GPT excels in specific areas, akin to a specialized sprinter, while ChatGPT, like a decathlete, demonstrates proficiency across various tasks. Einstein for Sales – Key Features: Einstein for Service – Key Features: Einstein for Marketing – Key Features: This comprehensive overview provides insights into the diverse functionalities of Salesforce Einstein across sales, service, and marketing, offering a range of AI-powered features tailored to specific business needs. Content updated August, 2023. Like2 Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

April 13, 2022in AI Tools, Artificial Intelligence, Data, Einstein 1 Platform, Enterprise, Generative AI, Google, Mulesoft, Salesforce, Salesforce Einstein, Technology

30Mar

Salesforce Enablement Team Roles and Responsibilities

When implementing Salesforce Enablement to better equip teams with skills, content, and context it is important to set up the right users with the right permissions. Having a complete Sales Enablement team in place produces the most effective training programs. Accelerate business outcomes with enablement programs delivered to users through the Guidance Center in Salesforce. Create programs that are unique to your company, and assign programs to users who can complete exercises and measurable milestones in their flow of work. Sales enablement is about people and technology, and strategically aligning them both behind a common goal: sales success. Sales enablement helps organizations streamline and shorten sales cycles by improving buyer interactions with relevant sales content that is tailored and personalized. Sales Enablement Platform A sales enablement platform provides sales teams with coaching, resources, and tools to help them effectively engage with customers and close deals. Identify who at your company can perform each role. In some cases, one person is ideal for all these responsibilities. Other companies require a team. Likewise, some of these roles aren’t required to use Enablement. But it can be nice to rely on these folks if they’re available. Roles and Responsibilities ROLE RESPONSIBILITIES REQUIRED TO USE ENABLEMENT? REQUIRED PERMISSIONS? Salesforce admin This person can access Setup and customize Salesforce for your company. To get your company started with Enablement, a Salesforce admin must give access to Enablement team members according to the required permissions listed on this page. Salesforce admins can also bring their Salesforce experience to help you define outcomes and milestones using Salesforce objects and fields. If you want to introduce new ways of tracking data in Salesforce to include those processes in a program, Salesforce admins can also help enable other features or customize settings. Yes For permissions required for Salesforce admins, search Salesforce Help for the specific task. Enablement admin A person who gets full access to create, edit, delete, publish, and unpublish Enablement programs in Salesforce. Enablement admins can also assign or unassign programs to Enablement users, view all Enablement analytics, customize the Enablement reports and dashboard, and create reports and dashboards using Enablement report types. Yes The Manage Enablement Essentials default permission set, which is included in the Enablement Admin permission set group. See Enablement Permission Set Groups, Permission Sets, and Permissions and Assign Permissions to Your Enablement Team. Content creator or manager This person adds your company’s training content to Salesforce. At some companies, this person is also the Enablement admin. Yes The Content Manager contributor role in the Enablement workspace of the Digital Experiences app. See Assign a Contributor Role in the Enablement Workspace. Enablement resources manager The person who manages resources related to Enablement other than training content that Enablement users directly consume as part of programs, such as these items. Surveys sent to peers and managers for gathering feedback on user performancePrompts and walkthroughs that guide users through Salesforce features and walkthroughs outside of programs No Manage Assessment Surveys and Manage In-App Guidance default permission sets, which are included in the Enablement Resources Manager permission set group. See Enablement Permission Set Groups, Permission Sets, and Permissions and Assign Permissions to Your Enablement Team. Business operations expert This person can help identify the business outcomes that your company wants to focus on and work with you to establish how certain job roles can contribute to your bottom line. No Your call. You can assign Enablement permissions to this person as needed. Enablement user The person at your company who takes the programs that you build and assign to them. Yes Use Enablement Programs default permission set, which is included in the Enablement User permission set group. Enablement admins, or users with the Manage Enablement Essentials default permission set, can also take programs that are assigned to them. See Enablement Permission Set Groups, Permission Sets, and Permissions and Assign Permissions to Your Enablement Team. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

March 30, 2022in Data, Salesforce, Technology

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